context('test-utils.R')
test_that("REQUIRE TEST Median()", {
input <- c(1, 2, 3)
expected <- 2
actual <- Median(input)
expect_equal(actual, expected)
})
# REQUIRE TEST for to_zelig_mi -------------------------------------------------
# test_that('REQUIRE TEST for to_zelig_mi', {
# set.seed(123)
# n <- 100
# x1 <- runif(n)
# x2 <- runif(n)
# y <- rnorm(n)
# data.1 <- data.frame(y = y, x = x1)
# data.2 <- data.frame(y = y, x = x2)
# mi.out <- to_zelig_mi(data.1, data.2)
# z.out.mi <- zelig(y ~ x, model = "ls", data = mi.out)
# expect_error(summary(z.out.mi), NA)
# expect_equivalent(round(as.numeric(z.out.mi$get_coef()[[1]][2]), 3), 0.1)
# expect_equivalent(round(as.numeric(combine_coef_se(z.out.mi)[[1]][1]), 3),
# -0.122)
# z.out.mi.boot <- zelig(y ~ x, model = "ls", data = mi.out, bootstrap = 20)
# expect_equal(round(as.numeric(combine_coef_se(z.out.mi.boot)[[1]][1]), 3),
# -0.094)
# expect_error(z.out.log <- zelig(y ~ log(x), model = "ls", data = mi.out),
# NA)
# expect_error(z.out.log10 <- zelig(y ~ log(x, base = 10), model = "ls",
# data = mi.out), NA)
# })
# REQUIRE TEST for combine_coef_se for bootstrapped ----------------------------
# test_that('REQUIRE TEST for combine_coef_se for bootstrapped', {
# set.seed(123)
# n <- 100
# data.1 <- data.frame(y = rnorm(n), x = runif(n))
# z.out.boot <- zelig(y ~ x, model = "ls", data = data.1, bootstrap = 20)
# expect_error(summary(z.out.boot), NA)
# expect_equal(round(as.numeric(combine_coef_se(z.out.boot)[[1]][1]), 3),
# 0.007)
# summary(z.out.boot, bagging = TRUE)
# expect_equal(round(as.numeric(
# combine_coef_se(z.out.boot, bagging = TRUE)[[1]][1]), 3),
# -0.052)
# z5_ls <- zelig(Fertility ~ Education, model = "ls", data = swiss)
# expect_equal(length(combine_coef_se(z5_ls)), 3)
# })
# REQUIRE TEST for to_zelig_mi -------------------------------------------------
test_that('REQUIRE TEST for to_zelig_mi -- with list of data.frames', {
set.seed(123)
n <- 100
x1 <- runif(n)
x2 <- runif(n)
y <- rnorm(n)
data.1 <- data.frame(y = y, x = x1)
data.2 <- data.frame(y = y, x = x2)
data_mi = list(data.1, data.2)
mi.out <- to_zelig_mi(data_mi)
z.out <- zelig(y ~ x, model = "ls", data = mi.out)
expect_equivalent(round(as.numeric(z.out$get_coef()[[1]][2]), 3), 0.1)
})
# FAIL TEST for to_zelig_mi ----------------------------------------------------
test_that('FAIL TESTS for to_zelig_mi', {
x <- 100
expect_error(to_zelig_mi(x))
})
# FAIL TEST for or_summary -----------------------------------------------------
test_that("FAIL TEST for or_summary", {
expect_error(or_summary(1:10), "obj must be of summary.glm class.")
})
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